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Gies College of Business, University of Illinois

This course explores business analytic applications in accounting. First, it presents a survey of technology topics in accounting, including process mining, blockchain and applications in audit, tax, and assurance. Next, the course explores visualization and basic analytics in audit and control testing using R and Alteryx. Next, the course examines the uses of text analysis in accounting and conducts text analysis using R and RStudio. Finally, the course examines robot process automation in general using UiPath and its applications in accounting.

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What's inside

Syllabus

MODULE 1: SURVEY OF ANALYTICS TOPICS IN ACCOUNTING
In this module, we provide a broad overview of the role of accounting as it interacts with data analytics and new technological advances. We begin by understanding what accounting is and the environment surrounding it. We then introduce you to the recent trends in the technology of accounting. We conclude the module with a discussion of three important topics in accounting: cybersecurity, process mining, and blockchain.
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MODULE 2: CONTROLS AND AUDITING
This module introduces you to important concepts related to auditing. We begin by reviewing the different types of technology that can be used by the auditors to increase the effectiveness and efficiency of audits. We then examine how and why mistakes or fraud occur. We also discuss how internal controls can be placed to prevent misstatements. Finally, we demonstrate the control test workflow using a real-world dataset in both Alteryx Designer and RStudio.
MODULE 3: TEXT PROCESSING AND ANALYSIS IN ACCOUNTING
Numbers are everywhere in the financial statements. However, accounting is also about more than numbers. In this module, we discuss how text in accounting disclosure and other accounting information can contain useful information. We also demonstrate how to implement a basic natural language processing (NLP) pipeline using R.
MODULE 4: ROBOT PROCESS AUTOMATION IN ACCOUNTING
Accountants do many things that are standardized and mundane. This module introduces you to robotic process automation (RPA) that can be used to automate those routine tasks. We begin by looking at the definition of RPA and where it stands in the automation continuum. We then examine suitable tasks for RPA, steps in implementing RPA, and pros and cons associated with using RPA. We will also discuss the effect of RPA on accounting. We conclude the module with a demonstration of RPA using UiPath.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught using a highly effective and trusted learning platform
Helps you master essential business analytic applications in accounting
Taught by top instructors from the Gies College of Business, University of Illinois
Covers a wide range of business analytic applications in accounting
Provides hands-on experience using R, Alteryx, and UiPath
Suitable for accounting professionals and students

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Applying Data Analytics in Accounting with these activities:
Network with professionals in the accounting field
Build relationships with professionals in the field.
Show steps
  • Attend industry events
  • Join professional organizations
  • Connect with professionals on LinkedIn
Volunteer at a non-profit organization that provides accounting services
Gain practical experience in accounting while giving back to the community.
Show steps
  • Find a non-profit organization that provides accounting services
  • Apply for a volunteer position
  • Complete the volunteer training
  • Provide accounting services to the organization
Attend a workshop on blockchain technology in accounting
Develop a basic understanding of blockchain technology and its applications in accounting.
Browse courses on Blockchain
Show steps
  • Find a workshop on blockchain technology
  • Attend the workshop
Six other activities
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Participate in a study group for the course
Reinforce learning and build relationships with classmates.
Show steps
  • Find a study group
  • Attend study group meetings
  • Participate in discussions
Practice data visualization using R
Develop fluency in using R for data visualization.
Browse courses on R
Show steps
  • Load a dataset into R
  • Create a scatter plot
  • Create a bar chart
  • Create a line chart
Follow a guided tutorial on text analysis using NLP
Develop a basic understanding of text analysis using NLP.
Show steps
  • Find a tutorial on NLP
  • Follow the steps in the tutorial
  • Apply the techniques to a small dataset
Create a presentation on how RPA can be used in accounting
Develop a deeper understanding of the applications of RPA in accounting.
Browse courses on RPA
Show steps
  • Research the topic
  • Gather examples of how RPA is used in accounting
  • Develop a presentation outline
  • Create the presentation slides
  • Practice the presentation
Participate in a hackathon on data analytics in accounting
Develop practical skills in data analytics and problem-solving.
Browse courses on Data Analytics
Show steps
  • Find a hackathon on data analytics
  • Form a team
  • Develop a solution to the problem
  • Present the solution
Develop a data analytics project for a real-world accounting problem
Develop practical skills in data analytics and problem-solving.
Browse courses on Data Analytics
Show steps
  • Identify a real-world accounting problem
  • Gather data
  • Analyze the data
  • Develop a solution
  • Present the solution

Career center

Learners who complete Applying Data Analytics in Accounting will develop knowledge and skills that may be useful to these careers:
Management Consultant
Management Consultants advise businesses on how to improve their operations. This course explores business analytic applications in accounting, including process mining, blockchain, and applications in audit, tax, and assurance. This course may be useful for Management Consultants who want to learn more about data analytics in accounting.
Data Scientist
Data Scientists use data to solve business problems. This course explores the uses of text analysis in accounting and conducts text analysis using R and RStudio. This course may be useful for Data Scientists who want to learn more about data analytics in accounting.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course explores the uses of text analysis in accounting and conducts text analysis using R and RStudio. This course may be useful for Data Analysts who want to learn more about data analytics in accounting.
Financial Analyst
Financial Analysts use financial data to make investment recommendations. This course explores robot process automation in general using UiPath and its applications in accounting. This course may be useful for Financial Analysts who want to learn more about data analytics in accounting.
Risk Analyst
Risk Analysts identify and assess risks to businesses. This course explores visualization and basic analytics in audit and control testing using R and Alteryx. This course may be useful for Risk Analysts who want to learn more about data analytics in auditing.
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. This course explores visualization and basic analytics in audit and control testing using R and Alteryx. This course may be useful for Actuaries who want to learn more about data analytics in auditing.
Investment Banker
Investment Bankers help companies raise capital. This course explores business analytic applications in accounting, including process mining, blockchain, and applications in audit, tax, and assurance. This course may be useful for Investment Bankers who want to learn more about data analytics in accounting.
Financial Planner
Financial Planners help individuals and families plan for their financial future. This course explores robot process automation in general using UiPath and its applications in accounting. This course may be useful for Financial Planners who want to learn more about data analytics in accounting.
Auditor
Auditors examine financial records to ensure that they are accurate and compliant with regulations. This course explores visualization and basic analytics in audit and control testing using R and Alteryx. This course may be useful for Auditors who want to learn more about data analytics in auditing.
Tax Accountant
Tax Accountants prepare and file tax returns for individuals and businesses. This course explores the uses of text analysis in accounting and conducts text analysis using R and RStudio. This course may be useful for Tax Accountants who want to learn more about data analytics in accounting.
Venture Capitalist
Venture Capitalists invest in early-stage companies. This course explores the uses of text analysis in accounting and conducts text analysis using R and RStudio. This course may be useful for Venture Capitalists who want to learn more about data analytics in accounting.
Accountant
Accountants can analyze financial data to identify trends, risks, and opportunities. This course explores business analytic applications in accounting, including process mining, blockchain, and applications in audit, tax, and assurance. This course may be useful for Accountants who want to learn more about data analytics in accounting.
Forensic Accountant
Forensic Accountants investigate financial crimes. This course explores robot process automation in general using UiPath and its applications in accounting. This course may be useful for Forensic Accountants who want to learn more about data analytics in accounting.
Internal Auditor
Internal Auditors evaluate the effectiveness of a company's internal controls. This course explores business analytic applications in accounting, including process mining, blockchain, and applications in audit, tax, and assurance. This course may be useful for Internal Auditors who want to learn more about data analytics in accounting.
Private Equity Analyst
Private Equity Analysts evaluate and invest in private companies. This course explores visualization and basic analytics in audit and control testing using R and Alteryx. This course may be useful for Private Equity Analysts who want to learn more about data analytics in auditing.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Applying Data Analytics in Accounting.
Provides a comprehensive overview of auditing, with a focus on risk-based auditing. It valuable reference for auditors who want to learn more about how to use data analytics to improve their audits.
Provides a basic overview of data analytics. It valuable resource for accountants who want to learn more about the basics of data analytics.
Provides a comprehensive overview of machine learning for accountants. It valuable resource for accountants who want to learn more about how to use machine learning to improve their work.
Provides a comprehensive overview of blockchain for accountants. It valuable resource for accountants who want to learn more about how to use blockchain to improve their work.
Provides a comprehensive overview of cybersecurity for accountants. It valuable resource for accountants who want to learn more about how to protect their data from cyberattacks.
Provides a comprehensive overview of process mining for accountants. It valuable resource for accountants who want to learn more about how to use process mining to improve their work.

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